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Cisco Machine Learning Jobs (NOW HIRING)

... machine learning. * Demonstrated leadership within the global AI research community, specifically serving as an Area Chair or senior program committee member for top-tier AI conferences. Why Cisco?

... machine learning. * Demonstrated leadership within the global AI research community, specifically serving as an Area Chair or senior program committee member for top-tier AI conferences. Why Cisco?

Cisco Architect

Durham, NC

$61 - $81.75/hr

Collaborate with cross-functional teams to support AI, machine learning, and cloud workloads ... Must hold CCIE certification with strong knowledge of Cisco networking technologies. * Excellent ...

AI, Machine Learning, or developer platforms experience. * Experience with programming language ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

AI, Machine Learning, or developer platforms experience. * Experience with programming language ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

Principal AI Researcher

Milpitas, CA · On-site

$296K - $374K/yr

Masters in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

Principal AI Researcher

San Francisco, CA · On-site

$296K - $374K/yr

Masters in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

Principal AI Researcher

Milpitas, CA · On-site

$296K - $374K/yr

Masters in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

Technical Program Manager

Milpitas, CA · On-site

$150K - $194K/yr

... machine learning to automate protection against newly-discovered threats before they can reach our ... Working at Cisco Cloud Security group means being surrounded by passionate and creative people who ...

Showing results 21-40

Cisco Machine Learning information

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How much do cisco machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for cisco machine learning in the United States is $94.95, according to ZipRecruiter salary data. Most workers in this role earn between $92.79 and $96.15 per hour, depending on experience, location, and employer.

What is a Cisco machine learning engineer?

A Cisco Machine Learning Engineer is a professional who designs, develops, and implements machine learning models and solutions within Cisco's ecosystem. They work with large data sets to build algorithms that improve products and services such as network security, automation, and analytics. Their role often involves collaborating with software engineers, data scientists, and product teams to integrate intelligent features into Cisco's hardware and software offerings. These engineers are proficient in programming, data analysis, and have a strong understanding of networking concepts relevant to Cisco technologies.

What are the key skills and qualifications needed to thrive as a Cisco machine learning engineer?

To thrive as a Cisco Machine Learning Engineer, you need strong skills in data science, programming (Python, R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, engineering, or a related field. Familiarity with Cisco technologies, cloud platforms, and tools like TensorFlow, PyTorch, and relevant certifications (e.g., Cisco DevNet) are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and translating technical findings. These skills are crucial for developing, deploying, and optimizing machine learning solutions that drive innovation and business value within Cisco environments.

What are some common challenges faced by Cisco machine learning engineers when deploying models in a production environment?

Cisco Machine Learning engineers often encounter challenges such as ensuring model scalability to handle large volumes of network data, integrating models with existing infrastructure, and maintaining real-time performance. Security and data privacy are also critical concerns, given the sensitivity of network data. Collaboration with cross-functional teams—including network engineers, DevOps, and security specialists—is essential to address these challenges and ensure successful deployment and ongoing management of ML solutions.

What is the difference between Cisco Machine Learning vs Cisco Data Scientist?

AspectCisco Machine LearningCisco Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; certifications like Cisco CCNA/CCNP may be beneficialBachelor's or higher in Data Science, Statistics, or related; often includes certifications in data analysis or programming
Work EnvironmentNetwork infrastructure, cybersecurity, and enterprise solutions within Cisco environmentsData analysis, modeling, and insights within Cisco's business and product data
Employer & Industry UsagePrimarily in networking, cybersecurity, and enterprise solutionsAcross data-driven projects, product development, and analytics teams

While both roles involve working with data and require technical skills, Cisco Machine Learning focuses on developing ML models for network and security solutions, whereas Cisco Data Scientists analyze data to inform business decisions. The roles often overlap but differ in their primary focus and application within Cisco's ecosystem.

More about Cisco Machine Learning jobs

What states have the most Cisco Machine Learning jobs?

States with the most job openings for Cisco Machine Learning jobs include:

Infographic showing various Cisco Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $197,499 per year, or $95 per hour.

Senior AI Researcher

San Francisco, CA • On-site

Cisco
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

$216K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Cisco Systems rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz


Job description

Meet the Team
At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of artificial intelligence through fundamental research and translate scientific breakthroughs into differentiated technologies that power the next generation of enterprise AI.
Our research spans foundation models, agentic AI, multimodal learning, reasoning systems, scalable training algorithms, evaluation science, inference optimization, and AI systems infrastructure. We work at the intersection of cutting-edge research and real-world impact, developing technologies that influence Cisco's AI strategy while contributing meaningfully to the broader AI research community.
We believe impactful research should advance both science and products. Our researchers publish at top AI conferences, contribute to open-source projects, collaborate with leading academic institutions, and build production systems that solve challenging enterprise-scale problems.
Your Impact
As a Senior AI Researcher you will operate as a visionary technical leader, architecting and executing frontier AI research that dictates Foundation AI's long-term technical trajectory.
You will identify emerging research opportunities, formulate original research hypotheses, and lead ambitious research programs spanning foundation models, agentic AI, reasoning, multimodal learning, and large-scale AI systems. Working closely with engineering and product team members, you will translate scientific advances into scalable technologies that differentiate Cisco's AI platform.
Working at the highest technical levels, you will translate scientific advances into scalable paradigms that fundamentally differentiate Cisco's AI platform. Beyond individual technical contributions, you will provide scientific leadership across multiple research initiatives, mentor junior researchers and interns, and influence executive technical strategy. You will represent Cisco externally through top-tier publications, open-source leadership, and active collaboration with the global AI research community.
Minimum Qualifications
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, plus 5+ years of relevant research experience, or equivalent demonstrated research impact.
  • Demonstrated track record of sustained, high-impact publications at top-tier machine learning and AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, or equivalent venues).
  • Demonstrated expertise in foundation models, post-training and alignment, LLMs, agentic AI, reinforcement learning, reasoning, efficient inference, or distributed training, evidenced by 5+ years of relevant research/engineering experience and/or multiple production-scale model deployments, publications, or open-source contributions.
  • 5+ years of hands-on Python and PyTorch experience, including training and optimizing models across multi-GPU or distributed environments and working with modern ML research and production frameworks.
  • Proven ability to lead complex, ambiguous technical projects from conception to deployment as an individual contributor.

Preferred Qualifications
  • Hands-on expertise in high-performance computing environments, with a track record of leading distributed training across thousands of GPUs using frameworks and communication primitives such as CUDA, NCCL, FSDP2, and Megatron-LM.
  • Experience deploying high-performance inference engines such as vLLM and SGLang, and working with cloud-native deployment, Docker, Kubernetes, MLOps pipelines, and major cloud platforms such as AWS, GCP, or Azure.
  • Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems.
  • Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning.
  • Demonstrated leadership within the global AI research community, specifically serving as an Area Chair or senior program committee member for top-tier AI conferences.

Why Cisco?
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $216,300.00 to $280,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;
  • 1% of incentive target for each 1% of attainment between 75% and 100%; and
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$216,300.00 - $322,900.00
Non-Metro New York state & Washington state:
$197,500.00 - $287,300.00
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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